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Application of reflux classifier with closely spaced inclined channels in pre-concentrate process of fine antimony oxide particles

逆流分选柱预富集细粒级氧化锑尾矿的建模与优化

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Abstract

In this work, the reflux classifier with closely spaced inclined channels is used as the pre-concentration facility to improve the separation efficiency before the shaking table separation. Three operating parameters of reflux classifier (RC) to pre-concentrate fine(0.023–0.15 mm) tailings of antimony oxide were optimized by response surface methodology (RSM) using a three-level Box-Behnken design (BBD). The parameters studied for the optimization were feeding speed, underflow, and ascending water speed. Second-order response functions were produced for the Sb grade and recovery rate of the concentrate. Taking advantage of the quadratic programming, when the factors of feeding, underflow and ascending water are respectively 225, 30 and 133 cm3/min, a better result can be achieved for the concentrate grade of 2.31% and recovery rate of 83.17%. At the same time, 70.48% of the tailings with the grade of 0.20% were discarded out of the feeding. The results indicated that the reflux classifier has a good performance in dealing with fine tailings of antimony oxide. Moreover, second-order polynomial equations, ANOVA, and three-dimensional surface plots were developed to evaluate the effects of each parameter on Sb grade and recovery rate of the concentrate.

摘要

本文采用窄斜板间距的逆流分选柱作为摇床分选前的预富集装置, 旨在提高其分选效率. 采用响应面法 (RSM), 并利用三层 Box-Behnken design (BBD) 对逆流分选柱 (RC) 预富集细粒级氧化锑尾矿 (0.023∼0.015 mm) 的三个操作实验参数进行优化. 优化研究的参数为给矿速度, 底流速度, 上升水流速. 用二阶响应函数对精矿产物的锑品位和精矿回收率进行拟合, 并利用二次规划法对实验操作参数进行优化, 可得当给矿速度, 底流速度, 上升水流速分别为 225,30 和 133 cm 3/min 时, 可得品位为 2.31%, 回收率为 83.17% 的精矿产品. 同时, 有 70.48% 的品位为 0.20% 的尾矿被抛除. 结果表明, 该 逆流分选柱对氧化锑细粒尾矿的处理效果较好. 此外, 还建立了二阶多项式方程, 方差分析和三维曲 面图来评价各操作参数对锑品位和精矿回收率的影响.

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Authors and Affiliations

  1. School of Minerals Processing and Bioengineering, Central South University, Changsha, 410083, China

    Zhen-qiang Liu  (刘振强), Dong-fang Lu  (卢东方), Yu-hua Wang  (王毓华), Hao-ran Chu  (褚浩然) & Xia-yu Zheng  (郑霞裕)

  2. Pangang Group Research Institute Co., Ltd, Panzhihua, 617000, China

    Fu-lin Chen  (陈福林)

Authors
  1. Zhen-qiang Liu  (刘振强)
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  2. Dong-fang Lu  (卢东方)
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  3. Yu-hua Wang  (王毓华)
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  4. Hao-ran Chu  (褚浩然)
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  5. Xia-yu Zheng  (郑霞裕)
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  6. Fu-lin Chen  (陈福林)
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Contributions

LIU Zhen-qiang wrote the first draft of the manuscript and revised the manuscript. LU Dong-fang provided the research ideas and formulated the overall research objectives. CHU Hao-ran conducted the experiments and analyzed the test data. WANG Yu-hua, ZHENG Xia-yu and CHEN Fu-lin offered some valuable suggestions for the contents of the manuscript.

Corresponding authors

Correspondence to Dong-fang Lu  (卢东方) or Hao-ran Chu  (褚浩然).

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Conflict of interest

LIU Zhen-qiang, LU Dong-fang, WANG Yu-hua, CHU Hao-ran, ZHENG Xia-yu and CHEN Fu-lin declare that they have no conflict of interest.

Foundation item

Project(2015SK20792) supported by Key Province Key Technology Research and Development Program of the Ministry of Science and Technology of Hunan, China; Projects(2019zzts703, 2020zzts740, 2020zzts202) supported by the Fundamental Research Funds for the Central Universities of China; Project(2020P4FZG03A) supported by State Key Laboratory of Vanadium and Titanium Resources Comprehensive Utilization, China

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Liu, Zq., Lu, Df., Wang, Yh. et al. Application of reflux classifier with closely spaced inclined channels in pre-concentrate process of fine antimony oxide particles. J. Cent. South Univ. 27, 3290–3301 (2020). https://doi.org/10.1007/s11771-020-4547-z

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  • DOI: https://doi.org/10.1007/s11771-020-4547-z

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